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Author Name Disambiguation in Bibliographic Databases: A Survey [article]

Muhammad Shoaib, Ali Daud, Tehmina Amjad
2020 arXiv   pre-print
Author Name Disambiguation (AND) in Bibliographic Databases (BD) like DBLP , Citeseer , and Scopus is a specialized field of entity resolution.  ...  Entity resolution is a challenging and hot research area in the field of Information Systems since last decade.  ...  Acknowledgement We are grateful to the Higher Education Commission (HEC) of Pakistan for their financial assistance to promote the research trend in the country under Indigenous 5000 Fellowship Program  ... 
arXiv:2004.06391v1 fatcat:g6ohfpzeejbwhlxmt7vlmyjqo4

A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks [article]

Yashar Deldjoo and Tommaso Di Noia and Felice Antonio Merra
2020 arXiv   pre-print
In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences.  ...  The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another  ...  We collected all resulting publications from DBLP, Scopus and Google Scholar search. In the second stage, we went through all the collected research works and removed all irrelevant works.  ... 
arXiv:2005.10322v2 fatcat:4wqcluqgnbbwpkicunn42et5te

Natural Language Processing via LDA Topic Model in Recommendation Systems [article]

Hamed Jelodar, Yongli Wang, Mahdi Rabbani, SeyedValyAllah Ayobi
2019 arXiv   pre-print
In the past few years, many articles have been published based on LDA technique for building recommendation systems.  ...  Today, Internet is one of the widest available media worldwide.  ...  Yan and et al, focused on the efficiency of users' information content on the online social network and provided a solution as a personalized video recommendation with considering users' cross-network  ... 
arXiv:1909.09551v1 fatcat:ok3piccvx5agfds6adyiny2aom

Data sets for author name disambiguation: an empirical analysis and a new resource

Mark-Christoph Müller, Florian Reitz, Nicolas Roy
2017 Scientometrics  
Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research.  ...  Both the quantitative analysis of this data set and the results of our initial AND experiments with a naive baseline algorithm show the SCAD-zbMATH data set to be considerably different from existing ones  ...  Then, a simple social network analysis based on co-author information is performed to rank the potential candidate profiles.  ... 
doi:10.1007/s11192-017-2363-5 pmid:28596627 pmcid:PMC5438420 fatcat:ffqjb223ejd7vfh6wnwjxezulu

POLYPHONET: An Advanced Social Network Extraction System from the Web

Yutaka Matsuo, Junichiro Mori, Masahiro Hamasaki, Takuichi Nishimura, Hideaki Takeda, Koiti Hasida, Mitsuru Ishizuka
2007 Social Science Research Network  
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on.  ...  We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person  ...  Acknowledgment This research was partially supported by the New Energy and Industrial Technology Development Organization (NEDO), No. 04A11502a.  ... 
doi:10.2139/ssrn.3199373 fatcat:ctymfrnp2nbrzjii5nyp6pdggi

POLYPHONET: An advanced social network extraction system from the Web

Yutaka Matsuo, Junichiro Mori, Masahiro Hamasaki, Takuichi Nishimura, Hideaki Takeda, Koiti Hasida, Mitsuru Ishizuka
2007 Journal of Web Semantics  
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on.  ...  We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person  ...  Acknowledgment This research was partially supported by the New Energy and Industrial Technology Development Organization (NEDO), No. 04A11502a.  ... 
doi:10.1016/j.websem.2007.09.002 fatcat:b3d6txzmbfe3ldjhua6jo7vrdi

The Quest for Research Information

Ina Blümel, Stefan Dietze, Lambert Heller, Robert Jäschke, Martin Mehlberg
2014 Procedia Computer Science  
In this work, we give an overview of the current state of the art in research information sharing on the web and present initial ideas towards a more holistic approach for boot-strapping research information  ...  ., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing in institutional and personal web pages or in  ...  NER selects and categorises entity names (such as persons, organisations, and location names), temporal expressions (dates and times), and certain types of numerical expressions (monetary values and percentages  ... 
doi:10.1016/j.procs.2014.06.040 fatcat:x7qpwy6gsrdeldhcn2fppd6ryy

Network representation learning systematic review: Ancestors and current development state

Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
2021 Machine Learning with Applications  
Through the undertaken survey, we provide a comprehensive view of reasons behind the emergence of network embedding and, types of settings and models used in the network embedding pipeline.  ...  In this paper, we present a systematic comprehensive survey of network representation learning, known also as network embedding, from birth to the current development state.  ...  , node in a graph, a user, a hashtag in social networks, news, and structure of a graph to name few, is the key novelty of representation learning of concepts into low-dimensional space.  ... 
doi:10.1016/j.mlwa.2021.100130 fatcat:axhg2gxkzfds3icebro6hlman4

A Multi-Level Author Name Disambiguation Algorithm

Siyang Zhang, Xinhua E, Tian Pan
2019 IEEE Access  
Name disambiguation is used to promote computer technology and big data information, which maps virtual relational networks to real social networks to solve the problem that the same name points to multiple  ...  of the system, and affect the information quality and content quality.  ...  This part mainly summarizes related work in the past, and the background of the author name disambiguation method proposed in this paper.  ... 
doi:10.1109/access.2019.2931592 fatcat:hgvcdv6uhjevjlk5nqvqfu6tvi

Industry and Academic Research in Computer Vision [article]

Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos
2021 arXiv   pre-print
Next, the possible impact of industry presence is further explored, namely in the distribution of research topics and citation patterns.  ...  Since data for such analysis was not readily available, significant effort was spent on gathering and processing meta-data from the original publications.  ...  In general, the problem of distinguishing co-occurrence from the influence has been addressed in other examples of real networks, such as social networks.  ... 
arXiv:2107.04902v3 fatcat:indcnnkmmzcq7aav573bkf2qzi

Leveraging Personal Metadata for Desktop Search: The Beagle++ System

Enrico Minack, Raluca Paiu, Stefania Costache, Gianluca Demartini, Julien Gaugaz, Ekaterini Ioannou, Paul-Alexandru Chirita, Wolfgang Nejdl
2010 Social Science Research Network  
By comparing our results against the ones of a regular Desktop search solution -Beaglewe show an improved quality in search and overall performance.  ...  We also present a practical application of this approach -the extensible Beagle ++ toolbox. To prove the validity of our approach, we conducted a series of experiments.  ...  This work was supported by the NEPOMUK 48 project funded by the European Commission under the 6th Framework Programme (IST Contract No. 027705).  ... 
doi:10.2139/ssrn.3199465 fatcat:6fpkmmul6ze7dgf77bltt4k5eu

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020 Big Data Research  
The state-of-the-art research on human dynamics is reviewed from three aspects: individuals, relationships, and collectives.  ...  The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc.  ...  During the past couple of years, the most active area of research in semi-supervised learning has been in graph-based methods.  ... 
doi:10.1016/j.bdr.2020.100145 fatcat:jazh5b3itfgmvh4pn37l4v5m7y

Leveraging personal metadata for Desktop search: The Beagle ++ system

Enrico Minack, Raluca Paiu, Stefania Costache, Gianluca Demartini, Julien Gaugaz, Ekaterini Ioannou, Paul-Alexandru Chirita, Wolfgang Nejdl
2010 Journal of Web Semantics  
By comparing our results against the ones of a regular Desktop search solution -Beaglewe show an improved quality in search and overall performance.  ...  We also present a practical application of this approach -the extensible Beagle ++ toolbox. To prove the validity of our approach, we conducted a series of experiments.  ...  This work was supported by the NEPOMUK 48 project funded by the European Commission under the 6th Framework Programme (IST Contract No. 027705).  ... 
doi:10.1016/j.websem.2009.12.001 fatcat:wjyix5l44veadaifcg435g2lzu

Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019 [article]

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw (+62 others)
2020 arXiv   pre-print
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR  ...  Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of entities. [...]  ...  Acknowledgement We would like to thank everyone who contributed to the organisation of ISWS, the students who are its soul and motivating engine, and the sponsors.  ... 
arXiv:2012.11936v1 fatcat:frdu4fyci5f2da5atmjtanubia

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Hui Wang, Zichun Le
2020 Sensors  
For discussion and analysis of the evolution of the network, the network model is of great significance.  ...  The idea of stratification is introduced into the classification system of link prediction for the first time and proposes the design idea of a seven-layer model, namely the network, metadata, feature  ...  For example, if a node represents a person and an edge represents an interaction between two nodes, it can form a social network reflecting interpersonal relationships.  ... 
doi:10.3390/s20226560 pmid:33212872 pmcid:PMC7698359 fatcat:rsudi3hhnfe5jhcr5v5ry65pwy
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